Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications
A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …
undesirable characteristics like non-convexity, mixed types of design variables and multiple …
A review of optimal power flow studies applied to smart grids and microgrids
H Abdi, SD Beigvand, M La Scala - Renewable and Sustainable Energy …, 2017 - Elsevier
The term smart grid refers to a modernization of the electrical network consisting in the
integration of various technologies such as dispersed generation, dispatchable loads …
integration of various technologies such as dispersed generation, dispatchable loads …
Optimal power flow solution in power systems using a novel Sine-Cosine algorithm
This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …
Optimal power flow using moth swarm algorithm
AAA Mohamed, YS Mohamed, AAM El-Gaafary… - Electric Power Systems …, 2017 - Elsevier
This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …
Development and application of slime mould algorithm for optimal economic emission dispatch
In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …
A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …
that have proven its capability in solving challenging engineering tasks. Owing to the non …
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques
Optimal power flow (OPF) is a highly non-linear complex optimization problem where the
steady state parameters of an electrical network need to be determined for its economical …
steady state parameters of an electrical network need to be determined for its economical …
A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem
A Meng, C Zeng, P Wang, D Chen, T Zhou, X Zheng… - Energy, 2021 - Elsevier
This paper formulates the optimal power flow (OPF) problem with the consideration of
minimizing many objective functions including the basic fuel cost, fuel cost with valve-point …
minimizing many objective functions including the basic fuel cost, fuel cost with valve-point …
Review of metaheuristic optimization algorithms for power systems problems
Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …
used to solve complicated optimization issues. These algorithms are intended to locate or …
An improved heap optimization algorithm for efficient energy management based optimal power flow model
The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …
planning. To demonstrate, it aims at minimizing the operational costs of energy production …